Development of video games to improve the learning of data structures

Luis Salvador-Ullauri; Belén Salvador-Acosta; Carlos Ramos-Galarza; Patricia Acosta-Vargas

doi:10.1007/978-3-030-50896-8_32

Development of video games to improve the learning of data structures

Luis Salvador-Ullauri, Belén Salvador-Acosta, Carlos Ramos-Galarza, Patricia Acosta-Vargas^*

^*Autor correspondiente de este trabajo

Facultad de Psicología

Producción científica: Capítulo del libro/informe/acta de congreso › Contribución de conferencia › revisión exhaustiva

Resumen

Computer engineering students have little interest in striving to understand the fundamentals of developing data structures at the origins of computing. In order to improve the learning of the Data Structure course, a strategy has been established for students to develop a simple video game in which the implementation of AVL trees, queues, and stacks shows the importance of using data structures during the development of computational applications. This work suggests a method to stimulate the learning of the essential elements of the software through the development of video games to emphasize the importance of the use of Data Structures. The students involved in this practice used graphic tools to represent the insertion and deletion operations that are performed on three types of Data Structures: AVL Tree, queue and stack.

Idioma original	Inglés
Título de la publicación alojada	Advances in Human Factors in Training, Education, and Learning Sciences - Proceedings of the AHFE 2020 Virtual Conference on Human Factors in Training, Education, and Learning Sciences
Editores	Salman Nazir, Tareq Ahram, Waldemar Karwowski
Editorial	Springer
Páginas	212-217
Número de páginas	6
ISBN (versión impresa)	9783030508951
DOI	https://doi.org/10.1007/978-3-030-50896-8_32
Estado	Publicada - 2020
Evento	AHFE Virtual Conference on Human Factors in Training, Education, and Learning Sciences, 2020 - San Diego, Estados Unidos Duración: 16 jul. 2020 → 20 jul. 2020

Serie de la publicación

Nombre	Advances in Intelligent Systems and Computing
Volumen	1211 AISC
ISSN (versión impresa)	2194-5357
ISSN (versión digital)	2194-5365

Conferencia

Conferencia	AHFE Virtual Conference on Human Factors in Training, Education, and Learning Sciences, 2020
País/Territorio	Estados Unidos
Ciudad	San Diego
Período	16/07/20 → 20/07/20

Nota bibliográfica

Publisher Copyright:
© The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2020.

Acceder al documento

10.1007/978-3-030-50896-8_32

Otros archivos y enlaces

Enlace a la publicación en Scopus

Citar esto

Salvador-Ullauri, L., Salvador-Acosta, B., Ramos-Galarza, C., & Acosta-Vargas, P. (2020). Development of video games to improve the learning of data structures. En S. Nazir, T. Ahram, & W. Karwowski (Eds.), Advances in Human Factors in Training, Education, and Learning Sciences - Proceedings of the AHFE 2020 Virtual Conference on Human Factors in Training, Education, and Learning Sciences (pp. 212-217). (Advances in Intelligent Systems and Computing; Vol. 1211 AISC). Springer. https://doi.org/10.1007/978-3-030-50896-8_32

Salvador-Ullauri, Luis ; Salvador-Acosta, Belén ; Ramos-Galarza, Carlos et al. / Development of video games to improve the learning of data structures. Advances in Human Factors in Training, Education, and Learning Sciences - Proceedings of the AHFE 2020 Virtual Conference on Human Factors in Training, Education, and Learning Sciences. editor / Salman Nazir ; Tareq Ahram ; Waldemar Karwowski. Springer, 2020. pp. 212-217 (Advances in Intelligent Systems and Computing).

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title = "Development of video games to improve the learning of data structures",

abstract = "Computer engineering students have little interest in striving to understand the fundamentals of developing data structures at the origins of computing. In order to improve the learning of the Data Structure course, a strategy has been established for students to develop a simple video game in which the implementation of AVL trees, queues, and stacks shows the importance of using data structures during the development of computational applications. This work suggests a method to stimulate the learning of the essential elements of the software through the development of video games to emphasize the importance of the use of Data Structures. The students involved in this practice used graphic tools to represent the insertion and deletion operations that are performed on three types of Data Structures: AVL Tree, queue and stack.",

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Salvador-Ullauri, L, Salvador-Acosta, B, Ramos-Galarza, C & Acosta-Vargas, P 2020, Development of video games to improve the learning of data structures. En S Nazir, T Ahram & W Karwowski (eds.), Advances in Human Factors in Training, Education, and Learning Sciences - Proceedings of the AHFE 2020 Virtual Conference on Human Factors in Training, Education, and Learning Sciences. Advances in Intelligent Systems and Computing, vol. 1211 AISC, Springer, pp. 212-217, AHFE Virtual Conference on Human Factors in Training, Education, and Learning Sciences, 2020, San Diego, Estados Unidos, 16/07/20. https://doi.org/10.1007/978-3-030-50896-8_32

Development of video games to improve the learning of data structures. / Salvador-Ullauri, Luis; Salvador-Acosta, Belén; Ramos-Galarza, Carlos et al.
Advances in Human Factors in Training, Education, and Learning Sciences - Proceedings of the AHFE 2020 Virtual Conference on Human Factors in Training, Education, and Learning Sciences. ed. / Salman Nazir; Tareq Ahram; Waldemar Karwowski. Springer, 2020. p. 212-217 (Advances in Intelligent Systems and Computing; Vol. 1211 AISC).

Producción científica: Capítulo del libro/informe/acta de congreso › Contribución de conferencia › revisión exhaustiva

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Salvador-Ullauri L, Salvador-Acosta B, Ramos-Galarza C, Acosta-Vargas P. Development of video games to improve the learning of data structures. En Nazir S, Ahram T, Karwowski W, editores, Advances in Human Factors in Training, Education, and Learning Sciences - Proceedings of the AHFE 2020 Virtual Conference on Human Factors in Training, Education, and Learning Sciences. Springer. 2020. p. 212-217. (Advances in Intelligent Systems and Computing). doi: 10.1007/978-3-030-50896-8_32